Trade openness and government size of small developing countries

This paper examines the causal effect that trade openness has on government size in small developing countries (SDCs). We use the construction of the trade cost variables based on Baltic Dry Index in primary goods as instruments of trade openness to address the endogeneity issue. We find that the increase in trade openness leads to an increase in government size: a 1 percent expansion in trade openness (trade GDP ratio) raises government consumption over GDP ratio by approximately 0.1–0.2 percentage points on average. Its quantitative significance emphasizes the importance of rethinking the costs and benefits of trade openness for SDCs.     

Analysis of Korean millennials’ travel expenditure patterns: an almost ideal demand system approach

ABSTRACT

Generational cohorts can differ in their consumption patterns and preferred travel behavior. As the millennial generation represents an important economic force and influences new consumption trends, this study utilizes nationwide data and almost ideal demand system (AIDS) approach to examine expenditure patterns of Korean travelers during holidays. In this process, the joint effects of travel-related characteristics are also examined. The results of the AIDS estimation on data from 871 domestic travelers reveal significantly different travel expenditure patterns for cohorts. The findings contribute to furthering the understanding of how different generational cohorts allocate their travel budgets to respective travel expenditure categories.     

“One-deal-fits-all?” On Category Sales Promotion Effectiveness in Smaller versus Larger Supermarkets

Even within a store chain and format, supermarket outlets often exhibit substantial differences in selling surface. For chain managers, this raises the issue of correctly anticipating the promotion lift, and of profitably managing promotion activities, across these outlets. In this paper, we conceptualize why and how store size influences the category sales effectiveness of four promotional indicators (depth of the promotional discount, display support, feature support, and whether the promotion is quantity-based). We then estimate the net moderating effect on four product categories for 103 store outlets belonging to four chains. For each of the promotion instruments, we find the percentage sales increases to be lower in large stores. For instance, whereas a 10% point increase in feature activity enhances category sales by about 1.64% in a 700 m² store, this figure drops to only 1.03% in a 1300 m² store – a 59% reduction. This moderating effect is especially pronounced for discount depth, the relative sales lift from a typical price cut being about 78% lower in the larger-sized outlet. However, since large outlets also have larger base sales, the picture changes when we consider absolute sales effects. The net outcome is that deeper discounts or quantity-based promotions do not systematically generate larger or smaller absolute sales bumps in large stores, whereas for in-store displays and features, we obtain a clear positive (be it less than proportional) link between store size and absolute category sales lift. When it comes to margin implications, we show that large stores gain higher profit from price cuts than small outlets only as long as the retailer keeps part of the manufacturer discount to himself. Managers can use these insights to improve their promotional forecasts across outlets, as well as to tailor their mix of instruments to store selling surface.     

Efficiency characteristics of a market for state contingent claims

This paper concludes that a market for state-contingent claims (UK horserace betting) displays evidence of pervasive but heterogeneous forms of inefficiency, in significant contrast to earlier investigations. Using hitherto unavailable data, comparison of notional returns implicit in parallel sets of bookmaker and parimutuel odds identifies inefficiency in terms of zones of distinct but contrasting forms of cross-;market returns differential. The inefficiency is rationalized in terms of both buyer and supplier behaviour; its durability is explained in terms of limited arbitrage opportunities.     

Regular Price $299; Pre-order Price $199: Price Promotion for a Pre-ordered Product and the Moderating Role of Temporal Orientation

Retailers typically use the strategy of providing a discount to induce the sale of a new product at a pre-order stage. Despite the prevalence of this strategy, providing discounts might not be effective for all consumers. The present research shows that the positive effect of a discount depends on consumer temporal orientation. Results from four experimental studies reveal that a large discount positively affects present-oriented, but not future-oriented, consumers. The findings suggest that perceived financial risk and perceived product quality sequentially mediate the effect of discount size on value toward the deal and purchase intention. A third-party product quality rating boosts quality perceptions, which in turn reduces perceived financial risk and positively enhances value toward the deal along with purchase intention. Our findings demonstrate that when the brand itself acts as a reliable signal of quality, a discount has its intended effect for both present- and future-oriented consumers. Overall, the findings of this research suggest that a retailer can use quality cues along with a discount, especially for a new brand, to appeal to the broadest group, as it will attract both future- and present-oriented consumers.     

Typologies of Banner Advertisements’ Attributes: A Content Analysis

The web has received significant amount of attention from advertising and consumer researchers investigating the impact of banner advertisement on consumers’ psychological and behavioral responses. However, no typology of banner advertisement has been identified yet, and the selection of banner advertisements as advertising stimuli has been carried out on the premise of personal judgment rather than scientific methodology. The identification of typology is important because different banner advertisement, such as static and pop-up, elicit different consumers’ responses. In addition the identification of a typology constitutes an advance to mid-range theory in a research domain. Hence, the purpose of this research is to identify the typologies of banner advertisements’ attributes such as type, number, shape, location, and size using content analysis. Specifically, nine banner advertisement types are identified as well as the typology of number, shape, location, and size of banner advertisements. Contributions of the research are discussed.     

On the emergence of scale-free production networks

We propose a simple dynamical model for the formation of production networks among monopolistically competitive firms. The model subsumes the standard general equilibrium approach à la Arrow–Debreu but displays a wide set of potential dynamic behaviors. It robustly reproduces key stylized facts of firms׳ demographics. Our main result is that competition between intermediate good producers generically leads to the emergence of scale-free production networks.     

住宅套型的物理性能质量衡定标准探讨

本文从住宅套型的声环境、光环境、热舒适环境和通风环境四大方面入手,对影响住宅套型性能质量之物理性能质量进行探讨。     

The extent of nonstationarity of beta

This paper investigates the extent of nonstationarity of beta across the firm size and the beta magnitude by suggesting the sequential parameter stationarity model and estimating change-points of betas. The high-beta firm has shorter stationary interval, which means that its beta changes more frequently than do the low-beta firm's. The firm size, however, does not have a monotonic relation with the length of stationary interval. The small and large firms have relatively shorter stationary interval than do the mid-sized firms. The average length of stationary interval is estimated about five years (exactly 54.19 months). This fact could support the currently widely-used arbitrary 5-year assumption of beta stationarity. The fluctuation of the large firm's beta is more severe than the small firm's, and the high- and low-beta firms have the relatively greater fluctuating betas than do the mid-beta firms. The frequency of detected change-points is found to be positively related to market returns. When the market return is high, the systematic risk changes more frequently, and vice versa.     

Portfolio Returns,Market Volatility,and Seasonality

This paper examines three important issues related to the relationship between stock returns and volatility. First, are Duffee's (1995) findings of the relationship between individual stock returns and volatility valid at the portfolio level? Second, is there a seasonality of the market return volatility? Lastly, do size portfolio returns react symmetrically to the market volatility during business cycles? We find that the market volatility exhibits strong autocorrelation and small size portfolio returns exhibit seasonality. However, this phenomenon is not present in large size portfolios. For the entire sample period of 1962–1995, the highest average monthly volatility occurred in October, followed by November, and then January. Examining the two sub-sample periods, we find that the average market volatility increases by 15.4% in the second sample period of 1980–1995 compared to the first sample period of 1962–1979. During the contraction period, the average market volatility is 60.9% higher than that during the expansion period. Using a binary regression model, we find that size portfolio returns react asymmetrically with the market volatility during business cycles. This paper documents a strongly negative contemporaneous relationship between the size portfolio returns and the market volatility that is consistent with the previous findings at the aggregate level, but is inconsistent with the findings at the individual firm level. In contrast with the previous findings, however, we find an ambiguous relationship between the percentage change in the market volatility and the contemporaneous stock portfolio returns. This ambiguity is attributed to strongly negative contemporaneous and one-month ahead relationships between the market volatility and portfolio returns.